Abstract
The use of online applications is increasing regularly, and during this COVID-19 pandemic, its usefulness is envisaged to all of us. Data sharing either in the form of text, videos, or audio is the main requirement for online meeting or discussions, and during COVID-19 pandemic, most of the meetings like business, learning, presentation, or other types from private business sector to government are done through online applications. These applications are accessible through Internet from devices like mobile devices, laptops, palmtops, or desktop computers. Now, with the use of these online meeting and data sharing applications, the need of data security also increases. During this COVID-19, the activities of intruder in online applications have been noticed more than before. IDS solutions provide security against such problems. The IDS solutions are categorized into two categories according to their nature of work: (i) The Network-based Intruder Detection Systems (NIDS) and (ii) The Host-based Intruder Detection System (HIDS). In this paper, we are proposing a model Host-based Intruder Detection and Alert System (HIDAS) for securing the data and applications from such intruder attacks for public cloud computing H machines.
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Chaturvedi, A.K., Kumar, P., Sharma, K. (2021). Proposing Host-Based Intruder Detector and Alert System (HIDAS) for Cloud Computing. In: Goyal, V., Gupta, M., Trivedi, A., Kolhe, M.L. (eds) Proceedings of International Conference on Communication and Artificial Intelligence. Lecture Notes in Networks and Systems, vol 192. Springer, Singapore. https://doi.org/10.1007/978-981-33-6546-9_55
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DOI: https://doi.org/10.1007/978-981-33-6546-9_55
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